Original paper
Automatic optimal filament segmentation with sub-pixel accuracy using generalized linear models and B-spline level-sets
Abstract
Biological filaments, such as actin filaments, microtubules, and cilia, are often imaged using different light-microscopy techniques. Reconstructing the filament curve from the acquired images constitutes the filament segmentation problem. Since filaments have lower dimensionality than the image itself, there is an inherent trade-off between tracing the filament with sub-pixel accuracy and avoiding noise artifacts. Here, we present a globally...
Paper Details
Title
Automatic optimal filament segmentation with sub-pixel accuracy using generalized linear models and B-spline level-sets
Published Date
Aug 1, 2016
Journal
Volume
32
Pages
157 - 172
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History